{"title":"基于能量阈值熵的最佳小波包功率测量","authors":"W. Xuewei, Zhao Yong, Wang Lin","doi":"10.1109/ICICTA.2011.100","DOIUrl":null,"url":null,"abstract":"Firstly, a sub-band energy threshold entropy was proposed as information measurement cost function. Then a novel best wavelet packet power measurement algorithm was proposed, which can decompose power signals into sub-bands adaptively according to the energy distribution, meanwhile, this algorithm can perform the decomposition of power energy in one wavelet packet process. The simulation using db40 wavelets shows that: the measurement relative errors of root mean square (RMS) and the active power are less than 6×10-5 in the total band, and the quoted errors of active power are less than 8.2×10-5 in the sub-bands.","PeriodicalId":368130,"journal":{"name":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Best Wavelet Packet Power Measurement Based on Energy Threshold Entropy\",\"authors\":\"W. Xuewei, Zhao Yong, Wang Lin\",\"doi\":\"10.1109/ICICTA.2011.100\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Firstly, a sub-band energy threshold entropy was proposed as information measurement cost function. Then a novel best wavelet packet power measurement algorithm was proposed, which can decompose power signals into sub-bands adaptively according to the energy distribution, meanwhile, this algorithm can perform the decomposition of power energy in one wavelet packet process. The simulation using db40 wavelets shows that: the measurement relative errors of root mean square (RMS) and the active power are less than 6×10-5 in the total band, and the quoted errors of active power are less than 8.2×10-5 in the sub-bands.\",\"PeriodicalId\":368130,\"journal\":{\"name\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Fourth International Conference on Intelligent Computation Technology and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICTA.2011.100\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fourth International Conference on Intelligent Computation Technology and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICTA.2011.100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Best Wavelet Packet Power Measurement Based on Energy Threshold Entropy
Firstly, a sub-band energy threshold entropy was proposed as information measurement cost function. Then a novel best wavelet packet power measurement algorithm was proposed, which can decompose power signals into sub-bands adaptively according to the energy distribution, meanwhile, this algorithm can perform the decomposition of power energy in one wavelet packet process. The simulation using db40 wavelets shows that: the measurement relative errors of root mean square (RMS) and the active power are less than 6×10-5 in the total band, and the quoted errors of active power are less than 8.2×10-5 in the sub-bands.